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Training in progress epoch 2

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.5667
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- - Train End Logits Accuracy: 0.6029
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- - Train Start Logits Accuracy: 0.5472
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  - Validation Loss: 1.5331
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  - Validation End Logits Accuracy: 0.6169
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  - Validation Start Logits Accuracy: 0.5583
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- - Epoch: 1
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  ## Model description
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@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 2.3671 | 0.4386 | 0.3832 | 1.6448 | 0.5845 | 0.5326 | 0 |
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  | 1.5667 | 0.6029 | 0.5472 | 1.5331 | 0.6169 | 0.5583 | 1 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.4159
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+ - Train End Logits Accuracy: 0.6381
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+ - Train Start Logits Accuracy: 0.5826
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  - Validation Loss: 1.5331
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  - Validation End Logits Accuracy: 0.6169
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  - Validation Start Logits Accuracy: 0.5583
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 2.3671 | 0.4386 | 0.3832 | 1.6448 | 0.5845 | 0.5326 | 0 |
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  | 1.5667 | 0.6029 | 0.5472 | 1.5331 | 0.6169 | 0.5583 | 1 |
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+ | 1.4159 | 0.6381 | 0.5826 | 1.5331 | 0.6169 | 0.5583 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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